code: def _make_batched_mock_gym_py_environment(
      self, multithreading, num_envs=3
  ):
      self.time_step_spec = ts.time_step_spec(self.observation_spec)
      constructor = functools.partial(
          GymWrapperEnvironmentMock,
          self.observation_spec,
          self.action_spec,
      )
      return batched_py_environment.BatchedPyEnvironment(
          envs=[constructor() for _ in range(num_envs)],
          multithreading=multithreading,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import functools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.environments import batched_py_environment
  from tf_agents.environments import random_py_environment
  from tf_agents.specs import array_spec
  from tf_agents.trajectories import time_step
label_desc: Use image node_id 4 for calling the BatchedPyEnvironmentTest obj's underlying member method code with example usage: obj._make_batched_mock_gym_py_environment(multithreading, num_envs) and returns: batched_py_environment